Dataset statistics
| Number of variables | 9 |
|---|---|
| Number of observations | 45312 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 5.4 MiB |
| Average record size in memory | 124.2 B |
Variable types
| NUM | 8 |
|---|---|
| CAT | 1 |
Reproduction
| Analysis started | 2020-03-22 12:10:16.512411 |
|---|---|
| Analysis finished | 2020-03-22 12:10:51.793781 |
| Version | pandas-profiling v2.5.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
date
Real number (ℝ≥0)
| Distinct count | 933 |
|---|---|
| Unique (%) | 2.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4990795572 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 48 |
| Zeros (%) | 0.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.005133 |
| Q1 | 0.031934 |
| median | 0.456329 |
| Q3 | 0.88054725 |
| 95-th percentile | 0.907969 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.84861325 |
Descriptive statistics
| Standard deviation | 0.3403077218 |
|---|---|
| Coefficient of variation (CV) | 0.6818706895 |
| Kurtosis | -1.318137405 |
| Mean | 0.4990795572 |
| Median Absolute Deviation (MAD) | 0.2825371897 |
| Skewness | -0.1658145258 |
| Sum | 22614.2929 |
| Variance | 0.1158093455 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0.000000e+00 2.200000e-05 1.040000e-03 4.181000e-03 5.420000e-03 ... 9.156450e-01 9.157780e-01 9.711075e-01 9.932305e-01 1.000000e+00], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.898102 | 96 | 0.2% | |
| 0.875979 | 96 | 0.2% | |
| 0.442326 | 96 | 0.2% | |
| 0.871731 | 96 | 0.2% | |
| 0.473563 | 96 | 0.2% | |
| 0.876156 | 96 | 0.2% | |
| 0.867307 | 96 | 0.2% | |
| 0.880404 | 96 | 0.2% | |
| 0.893677 | 96 | 0.2% | |
| 0.889253 | 96 | 0.2% | |
| Other values (923) | 44352 | 97.9% |
| Value | Count | Frequency (%) | |
| 0 | 48 | 0.1% | |
| 4.4e-05 | 48 | 0.1% | |
| 8.8e-05 | 48 | 0.1% | |
| 0.000133 | 48 | 0.1% | |
| 0.000177 | 48 | 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 48 | 0.1% | |
| 0.995575 | 48 | 0.1% | |
| 0.995443 | 48 | 0.1% | |
| 0.991018 | 48 | 0.1% | |
| 0.986594 | 48 | 0.1% |
day
Real number (ℝ≥0)
| Distinct count | 7 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.003177966 |
|---|---|
| Minimum | 1 |
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 1.998694937 |
|---|---|
| Coefficient of variation (CV) | 0.4992770629 |
| Kurtosis | -1.248878713 |
| Mean | 4.003177966 |
| Median Absolute Deviation (MAD) | 1.713374838 |
| Skewness | -0.001187819335 |
| Sum | 181392 |
| Variance | 3.994781452 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1. 1.5 6.5 7. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 7 | 6480 | 14.3% | |
| 6 | 6480 | 14.3% | |
| 5 | 6480 | 14.3% | |
| 4 | 6480 | 14.3% | |
| 3 | 6480 | 14.3% | |
| 2 | 6480 | 14.3% | |
| 1 | 6432 | 14.2% |
| Value | Count | Frequency (%) | |
| 1 | 6432 | 14.2% | |
| 2 | 6480 | 14.3% | |
| 3 | 6480 | 14.3% | |
| 4 | 6480 | 14.3% | |
| 5 | 6480 | 14.3% |
| Value | Count | Frequency (%) | |
| 7 | 6480 | 14.3% | |
| 6 | 6480 | 14.3% | |
| 5 | 6480 | 14.3% | |
| 4 | 6480 | 14.3% | |
| 3 | 6480 | 14.3% |
| Distinct count | 48 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 944 |
| Zeros (%) | 2.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.042553 |
| Q1 | 0.25 |
| median | 0.5 |
| Q3 | 0.75 |
| 95-th percentile | 0.957447 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 0.2947563828 |
|---|---|
| Coefficient of variation (CV) | 0.5895127656 |
| Kurtosis | -1.201042076 |
| Mean | 0.5 |
| Median Absolute Deviation (MAD) | 0.2553190833 |
| Skewness | 8.506244433e-17 |
| Sum | 22656 |
| Variance | 0.0868813252 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.0106385 0.9893615 1. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.638298 | 944 | 2.1% | |
| 0.276596 | 944 | 2.1% | |
| 0.553191 | 944 | 2.1% | |
| 0.085106 | 944 | 2.1% | |
| 0.382979 | 944 | 2.1% | |
| 0.595745 | 944 | 2.1% | |
| 0.680851 | 944 | 2.1% | |
| 0.489362 | 944 | 2.1% | |
| 0.617021 | 944 | 2.1% | |
| 0.808511 | 944 | 2.1% | |
| Other values (38) | 35872 | 79.2% |
| Value | Count | Frequency (%) | |
| 0 | 944 | 2.1% | |
| 0.021277 | 944 | 2.1% | |
| 0.042553 | 944 | 2.1% | |
| 0.06383 | 944 | 2.1% | |
| 0.085106 | 944 | 2.1% |
| Value | Count | Frequency (%) | |
| 1 | 944 | 2.1% | |
| 0.978723 | 944 | 2.1% | |
| 0.957447 | 944 | 2.1% | |
| 0.93617 | 944 | 2.1% | |
| 0.914894 | 944 | 2.1% |
nswprice
Real number (ℝ≥0)
| Distinct count | 4089 |
|---|---|
| Unique (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.05786831014 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 29 |
| Zeros (%) | 0.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.02681 |
| Q1 | 0.035127 |
| median | 0.048652 |
| Q3 | 0.074336 |
| 95-th percentile | 0.106611 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.039209 |
Descriptive statistics
| Standard deviation | 0.03999076895 |
|---|---|
| Coefficient of variation (CV) | 0.69106509 |
| Kurtosis | 158.5274187 |
| Mean | 0.05786831014 |
| Median Absolute Deviation (MAD) | 0.02328855723 |
| Skewness | 9.073261555 |
| Sum | 2622.128869 |
| Variance | 0.001599261602 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0.000000e+00 3.000000e-05 1.022300e-02 1.258000e-02 1.343500e-02 ... 1.792210e-01 1.796565e-01 2.311010e-01 3.982825e-01 1.000000e+00], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.074817 | 383 | 0.8% | |
| 0.055242 | 272 | 0.6% | |
| 0.058394 | 266 | 0.6% | |
| 0.028942 | 219 | 0.5% | |
| 0.041732 | 200 | 0.4% | |
| 0.041431 | 175 | 0.4% | |
| 0.028822 | 152 | 0.3% | |
| 0.029422 | 151 | 0.3% | |
| 0.044134 | 150 | 0.3% | |
| 0.041642 | 149 | 0.3% | |
| Other values (4079) | 43195 | 95.3% |
| Value | Count | Frequency (%) | |
| 0 | 29 | 0.1% | |
| 6e-05 | 1 | < 0.1% | |
| 0.000901 | 2 | < 0.1% | |
| 0.001831 | 1 | < 0.1% | |
| 0.001861 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 0.981806 | 2 | < 0.1% | |
| 0.979975 | 1 | < 0.1% | |
| 0.970908 | 1 | < 0.1% | |
| 0.968296 | 1 | < 0.1% |
nswdemand
Real number (ℝ≥0)
| Distinct count | 5266 |
|---|---|
| Unique (%) | 11.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4254178953 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.143707 |
| Q1 | 0.309134 |
| median | 0.4436925 |
| Q3 | 0.536001 |
| 95-th percentile | 0.684023 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.226867 |
Descriptive statistics
| Standard deviation | 0.1633227142 |
|---|---|
| Coefficient of variation (CV) | 0.3839112459 |
| Kurtosis | -0.4111293582 |
| Mean | 0.4254178953 |
| Median Absolute Deviation (MAD) | 0.1328403352 |
| Skewness | -0.09773906855 |
| Sum | 19276.53567 |
| Variance | 0.02667430897 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.036522 0.053481 0.0823415 0.0978135 ... 0.777819 0.820217 0.881583 0.9283695 1. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.488099 | 33 | 0.1% | |
| 0.478578 | 32 | 0.1% | |
| 0.487057 | 31 | 0.1% | |
| 0.451056 | 30 | 0.1% | |
| 0.489586 | 30 | 0.1% | |
| 0.480512 | 29 | 0.1% | |
| 0.517852 | 29 | 0.1% | |
| 0.4759 | 29 | 0.1% | |
| 0.473222 | 29 | 0.1% | |
| 0.50967 | 28 | 0.1% | |
| Other values (5256) | 45012 | 99.3% |
| Value | Count | Frequency (%) | |
| 0 | 1 | < 0.1% | |
| 0.00119 | 1 | < 0.1% | |
| 0.001488 | 1 | < 0.1% | |
| 0.003868 | 1 | < 0.1% | |
| 0.008182 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 0.980809 | 1 | < 0.1% | |
| 0.962511 | 1 | < 0.1% | |
| 0.960875 | 1 | < 0.1% | |
| 0.956561 | 1 | < 0.1% |
| Distinct count | 3798 |
|---|---|
| Unique (%) | 8.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.003467033898 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 35 |
| Zeros (%) | 0.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.001525 |
| Q1 | 0.002277 |
| median | 0.003467 |
| Q3 | 0.003467 |
| 95-th percentile | 0.00586 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.00119 |
Descriptive statistics
| Standard deviation | 0.01021303821 |
|---|---|
| Coefficient of variation (CV) | 2.945756665 |
| Kurtosis | 7047.774288 |
| Mean | 0.003467033898 |
| Median Absolute Deviation (MAD) | 0.001110384583 |
| Skewness | 78.68700693 |
| Sum | 157.09824 |
| Variance | 0.0001043061495 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0.00000e+00 2.90000e-05 5.09000e-04 5.75500e-04 6.59500e-04 ... 1.34085e-02 1.93275e-02 3.03330e-02 6.63650e-02 1.00000e+00], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.003467 | 17427 | 38.5% | |
| 0.000841 | 223 | 0.5% | |
| 0.002009 | 130 | 0.3% | |
| 0.000839 | 90 | 0.2% | |
| 0.000976 | 89 | 0.2% | |
| 0.000837 | 78 | 0.2% | |
| 0.001973 | 59 | 0.1% | |
| 0.001853 | 54 | 0.1% | |
| 0.001793 | 53 | 0.1% | |
| 0.001959 | 52 | 0.1% | |
| Other values (3788) | 27057 | 59.7% |
| Value | Count | Frequency (%) | |
| 0 | 35 | 0.1% | |
| 5.8e-05 | 3 | < 0.1% | |
| 0.000118 | 3 | < 0.1% | |
| 0.000129 | 2 | < 0.1% | |
| 0.000139 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 0.996228 | 1 | < 0.1% | |
| 0.980682 | 1 | < 0.1% | |
| 0.837239 | 1 | < 0.1% | |
| 0.509112 | 1 | < 0.1% |
vicdemand
Real number (ℝ≥0)
| Distinct count | 2846 |
|---|---|
| Unique (%) | 6.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4229150757 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.210772 |
| Q1 | 0.372346 |
| median | 0.422915 |
| Q3 | 0.46925175 |
| 95-th percentile | 0.641119 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.09690575 |
Descriptive statistics
| Standard deviation | 0.1209653455 |
|---|---|
| Coefficient of variation (CV) | 0.2860275087 |
| Kurtosis | 0.9089617644 |
| Mean | 0.4229150757 |
| Median Absolute Deviation (MAD) | 0.07964014647 |
| Skewness | 0.1595328979 |
| Sum | 19163.12791 |
| Variance | 0.01463261481 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.02913 0.0789745 0.100207 0.1484985 ... 0.7580265 0.7971255 0.841792 0.8907305 1. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.422915 | 17425 | 38.5% | |
| 0.562144 | 28 | 0.1% | |
| 0.494562 | 28 | 0.1% | |
| 0.542206 | 28 | 0.1% | |
| 0.333506 | 28 | 0.1% | |
| 0.328068 | 28 | 0.1% | |
| 0.51709 | 27 | 0.1% | |
| 0.340497 | 27 | 0.1% | |
| 0.506732 | 26 | 0.1% | |
| 0.287675 | 26 | 0.1% | |
| Other values (2836) | 27641 | 61.0% |
| Value | Count | Frequency (%) | |
| 0 | 1 | < 0.1% | |
| 0.024081 | 1 | < 0.1% | |
| 0.025634 | 1 | < 0.1% | |
| 0.028742 | 1 | < 0.1% | |
| 0.029518 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 0.996893 | 1 | < 0.1% | |
| 0.991196 | 1 | < 0.1% | |
| 0.989384 | 1 | < 0.1% | |
| 0.983687 | 1 | < 0.1% |
transfer
Real number (ℝ≥0)
| Distinct count | 1878 |
|---|---|
| Unique (%) | 4.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5005263909 |
|---|---|
| Minimum | 0 |
| Maximum | 1 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Memory size | 354.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.29760945 |
| Q1 | 0.414912 |
| median | 0.414912 |
| Q3 | 0.605702 |
| 95-th percentile | 0.801754 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0.19079 |
Descriptive statistics
| Standard deviation | 0.1533733911 |
|---|---|
| Coefficient of variation (CV) | 0.3064241845 |
| Kurtosis | -0.08657400985 |
| Mean | 0.5005263909 |
| Median Absolute Deviation (MAD) | 0.1263068164 |
| Skewness | 0.6705411339 |
| Sum | 22679.85183 |
| Variance | 0.02352339711 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0. 0.074781 0.1217105 0.16557 0.19057 ... 0.902851 0.9039475 0.9282895 0.9458335 1. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.414912 | 17480 | 38.6% | |
| 0.500526 | 338 | 0.7% | |
| 0.765789 | 220 | 0.5% | |
| 0.838158 | 75 | 0.2% | |
| 0.634211 | 68 | 0.2% | |
| 0.67807 | 58 | 0.1% | |
| 0.841667 | 57 | 0.1% | |
| 0.662719 | 56 | 0.1% | |
| 0.857018 | 56 | 0.1% | |
| 0.72193 | 54 | 0.1% | |
| Other values (1868) | 26850 | 59.3% |
| Value | Count | Frequency (%) | |
| 0 | 1 | < 0.1% | |
| 0.000439 | 1 | < 0.1% | |
| 0.002632 | 1 | < 0.1% | |
| 0.004386 | 1 | < 0.1% | |
| 0.00614 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 1 | < 0.1% | |
| 0.959211 | 1 | < 0.1% | |
| 0.957895 | 1 | < 0.1% | |
| 0.946053 | 1 | < 0.1% | |
| 0.945614 | 1 | < 0.1% |
class
Categorical
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 354.1 KiB |
| DOWN | |
|---|---|
| UP |
| Value | Count | Frequency (%) | |
| DOWN | 26075 | 57.5% | |
| UP | 19237 | 42.5% |
Length
| Max length | 4 |
|---|---|
| Mean length | 3.150909251 |
| Min length | 2 |
| Value | Count | Frequency (%) | |
| Uppercase_Letter | 6 | 100.0% |
| Value | Count | Frequency (%) | |
| Latin | 6 | 100.0% |
| Value | Count | Frequency (%) | |
| ASCII | 6 | 100.0% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
First rows
| date | day | period | nswprice | nswdemand | vicprice | vicdemand | transfer | class | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.0 | 2 | 0.000000 | 0.056443 | 0.439155 | 0.003467 | 0.422915 | 0.414912 | UP |
| 1 | 0.0 | 2 | 0.021277 | 0.051699 | 0.415055 | 0.003467 | 0.422915 | 0.414912 | UP |
| 2 | 0.0 | 2 | 0.042553 | 0.051489 | 0.385004 | 0.003467 | 0.422915 | 0.414912 | UP |
| 3 | 0.0 | 2 | 0.063830 | 0.045485 | 0.314639 | 0.003467 | 0.422915 | 0.414912 | UP |
| 4 | 0.0 | 2 | 0.085106 | 0.042482 | 0.251116 | 0.003467 | 0.422915 | 0.414912 | DOWN |
| 5 | 0.0 | 2 | 0.106383 | 0.041161 | 0.207528 | 0.003467 | 0.422915 | 0.414912 | DOWN |
| 6 | 0.0 | 2 | 0.127660 | 0.041161 | 0.171824 | 0.003467 | 0.422915 | 0.414912 | DOWN |
| 7 | 0.0 | 2 | 0.148936 | 0.041161 | 0.152782 | 0.003467 | 0.422915 | 0.414912 | DOWN |
| 8 | 0.0 | 2 | 0.170213 | 0.041161 | 0.134930 | 0.003467 | 0.422915 | 0.414912 | DOWN |
| 9 | 0.0 | 2 | 0.191489 | 0.041161 | 0.140583 | 0.003467 | 0.422915 | 0.414912 | DOWN |
Last rows
| date | day | period | nswprice | nswdemand | vicprice | vicdemand | transfer | class | |
|---|---|---|---|---|---|---|---|---|---|
| 45302 | 0.9158 | 7 | 0.808511 | 0.055062 | 0.350193 | 0.003772 | 0.295961 | 0.365351 | DOWN |
| 45303 | 0.9158 | 7 | 0.829787 | 0.065420 | 0.353913 | 0.004508 | 0.319524 | 0.319737 | UP |
| 45304 | 0.9158 | 7 | 0.851064 | 0.055902 | 0.340077 | 0.003857 | 0.313568 | 0.375000 | DOWN |
| 45305 | 0.9158 | 7 | 0.872340 | 0.050648 | 0.322821 | 0.003488 | 0.305541 | 0.325877 | DOWN |
| 45306 | 0.9158 | 7 | 0.893617 | 0.058875 | 0.340226 | 0.004049 | 0.276541 | 0.351754 | DOWN |
| 45307 | 0.9158 | 7 | 0.914894 | 0.044224 | 0.340672 | 0.003033 | 0.255049 | 0.405263 | DOWN |
| 45308 | 0.9158 | 7 | 0.936170 | 0.044884 | 0.355549 | 0.003072 | 0.241326 | 0.420614 | DOWN |
| 45309 | 0.9158 | 7 | 0.957447 | 0.043593 | 0.340970 | 0.002983 | 0.247799 | 0.362281 | DOWN |
| 45310 | 0.9158 | 7 | 0.978723 | 0.066651 | 0.329366 | 0.004630 | 0.345417 | 0.206579 | UP |
| 45311 | 0.9158 | 7 | 1.000000 | 0.050679 | 0.288753 | 0.003542 | 0.355256 | 0.231140 | DOWN |